Machine Learning Engineer Job at Tier4 Group

Machine Learning Engineer

Tier4 Group

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Machine Learning Engineer – NLP & Customer Analytics Contract through the end of 2026 + possible extension into 2027 W2 only – NO C2C Remote, in the United States We are seeking a Machine Learning Engineer to help build and deploy data-driven models that improve customer experience, retention, and marketing performance. This role focuses on applying machine learning and NLP to real-world customer data, including call center transcripts and behavioral datasets.

Job Responsibility:

Analyze call center transcripts and unstructured text data using NLP to detect customer sentiment and intent
Identify churn risk and customer complaints
Surface upsell and cross‑sell opportunities
Develop and deploy machine learning models for customer churn prediction
Next Best Offer / personalization
Campaign targeting and uplift modeling
Create customer segments and propensity models
Support A/B testing, experimentation, and campaign optimization
Work with diverse data sources such as customer usage, billing, CRM, and call logs
Collaborate with data, analytics, and business teams to translate insights into action
Deploy, monitor, and improve ML models in production environments

Requirements:

Strong Python skills (Pandas, scikit‑learn, TensorFlow or PyTorch)
Hands-on experience with machine learning and NLP
Solid SQL and data manipulation skills
Experience working with customer, marketing, or behavioral data
Experience working with unstructured data, including text and transcripts
Comfortable taking models from development through production
Experience in telecom, subscription-based, or recurring revenue businesses
Background in recommendation systems, personalization, or uplift modeling
Familiarity with speech analytics or call center data
Experience supporting experimentation frameworks or A/B testing

Additional Information:

Job Posted:
April 23, 2026

Work Type:

Remote work

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